We are....
a cutting-edge e-commerce company developing products for our own technological platform.Our creative, smart and dedicated teams pool their knowledge and experience to find the best solutions to meet project needs, while maintaining sustainable and long-lasting results. How? By making sure that our teams thrive and develop professionally. Strong advocates of hiring top talent and letting them do what they do best, we strive to create a workplace that allows for an open, collaborative and respectful culture.
What you will be doing....
If you have an unsatiated curiosity for Data ... this is your dream job! As a Data Engineer in the company you will implement methods to improve data reliability and quality. You will combine raw information from different sources to create consistent and machine-readable formats. Also, you will develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling.
Take a look at the tasks and responsibilities here:
- Analyze and organize raw data
- Build data systems and pipelines
- Evaluate business needs and objectives
- Interpret trends and patterns
- Conduct complex data analysis and report on results
- Prepare data for prescriptive and predictive modeling
- Build data processing algorithms and prototypes
- Combine raw information from different sources
- Explore ways to enhance data quality and reliability
- Develop analytical tools and programs
- Collaborate with diverse teams on several projects
- Use agile software development processes to iteratively make improvements to our back end systems
Knowledge and skills you need to have
Minimum 5 years’ experience working with/as:
- Previous experience as a data engineer or in a similar role.
- Data-oriented programming language or libraries (e.g. Python, R, and/or Java/Scala).
- Open-source data integration /management tools such as Talend ETL, Apache Airflow.
- Familiarity with Kafka, and other suitable real time data processing framework (Spark, Storm, Confluent Platform).
- Modeling tools.
- Expert proficiency in SQL development and relational database design.
- Hands-on experience with NoSQL databases.
- Flexible to work with departments in different time-zones.
- Upper intermediate English level
Bonus points for the following
- Relevant expertise with Data Warehouse design and development.
- Experience Microsoft SQL and PostgresSQL database systems.
- Hands-on experience with Docker and Kubernetes based workloads.
- DevOps mindset.
Why choose us?
We will give you the opportunity to be the best version of yourself, develop professionally and create strong working relationships working remote or on site. While offering a competitive salary, we also invest in our people's professional development and want to see you grow and love what you do. We are dedicated to listening to our team's needs and are constantly working on creating an environment in which you can feel at home.... If this sounds like the place for you, contact us now!